SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM USING THE SLIME MOULD ALGORITHM

Ahmed, Taiea A.; Ebeed, Mohamed; Refai, Ahmed; Kamel, Salah

doi:10.21608/sej.2021.155880

SOLVING COMBINED ECONOMIC AND EMISSION DISPATCH PROBLEM USING THE SLIME MOULD ALGORITHM

Document Type : Original research articles

Authors

¹ Qena Paper Company, Ques, Qena, Egypt

² Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt.

³ Department of Electrical Engineering, Faculty of Engineering, Sohag University, Sohag 82524, Egypt

⁴ Department of Electrical Engineering, Aswan University, Aswan 81542, Egypt

10.21608/sej.2021.155880

Abstract

In this paper, a novel optimization method called Slime Mould Algorithm (SMA) for solving the ELD and CEED problem is presented. To investigate the effectiveness of the proposed algorithm, the 10 and 40 units considering the valve point loading effect test has been executed. The solving the Economic Load Dispatch (ELD) and Combined Economic and Emission Dispatch (CEED) are crucial task in modern power systems. The aim of ELD is assigning the best generation scheduling for minimum cost generation with satisfying the load demands while the CEED means assigning the best generation scheduling for cost and emission reduction simultaneously. The effectiveness of the proposed algorithm is compared with other algorithms.
In this paper, a novel optimization method called Slime Mould Algorithm (SMA) for solving the ELD and CEED problem is presented. To investigate the effectiveness of the proposed algorithm, the 10 and 40 units considering the valve point loading effect test has been executed. The solving the Economic Load Dispatch (ELD) and Combined Economic and Emission Dispatch (CEED) are crucial task in modern power systems. The aim of ELD is assigning the best generation scheduling for minimum cost generation with satisfying the load demands while the CEED means assigning the best generation scheduling for cost and emission reduction simultaneously. The effectiveness of the proposed algorithm is compared with other algorithms.

Keywords

References

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